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Senior Data Engineer
3 days ago
The Role We’re looking for an accomplished and well-rounded Senior Data Engineer who is comfortable navigating streaming data pipelines, data science services, and data warehouses. Over the course of your time with Blue Owl you will have the opportunity to develop streaming data pipelines that bring together data from multiple sources to evaluate insured risk, develop APIs that package data science models, and develop our organizational data warehouse to promote data driven decision processes. Your day-to-day Collaborate with cross-functional teams to understand data requirements and design optimal data models and schemas. Work with technologies such as SQS, Kafka and rest services to expand BlueOwl’s stream data processing pipelines.
Develop and implement data pipelines, integrating diverse data sources into Snowflake using appropriate ETL/ELT tools and techniques. Implement data quality checks and data governance processes to maintain data accuracy, consistency, and compliance.’ Participate in building a highly usable, performant and secure data warehouse. Document technical specifications, data flows, and system configurations for collaborative design and future reference.
About you
Bachelor's degree in Computer Science, Information Systems, or a related field. 8+ years experience in software development 3+ years experience in data warehouse development Experience with Snowflake and DBT with ELT data pipelines Experience with scheduling tools such as Airflow and building extensive data integrations Deep background in data modeling techniques Knowledge and experience with data governance practices Extensive experience with SQL and databases such as Postgres Experience working with rest services and APIs Strong testing and data quality background Strong software testing knowledge Understanding of data science modeling processes and technologies such as pandas and scikit learn. Strong communication and collaboration skills Experience with streaming data ingestion and processing using tools like Kafka or AWS Kinesis. Deep understanding of Python Experience with AWS Experience building scalable and resilient systems Bonus Points Extensive CI/CD experience Strong familiarity with Kubernetes and Terraform Salary: $200,000 to $300,000* Important note: all offered salaries are based on many factors, including experience in a similar role and geographic location of the candidate. Additional Details: Benefits : We provide a wide variety of health, wellness and other benefits.
These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match. Work from Home Equipment : Given our virtual environment— in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day. Paid Time Off: All employees accrue four weeks of PTO in their first year of employment.
New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent. Personal and Professional Development: We’re committed to investing in and helping our people grow personally and professionally. All employees receive up to $5000 each year for professional learning, continuing education and career development.
All team members also receive Udemy subscriptions and access to multiple different coaching opportunities through BetterUp. Location : We are a remote-first company for most positions so you may work from anywhere you like in the U. S, excluding U. S. territories.
Occasional travel may be required for team meetings or company gatherings. Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired. Hours : We maintain core meeting hours from 9AM - 3PM Pacific time for collaborating with team members across all time zones.
